About Calm Waters AI

Calm Waters AI utilizes natural language processing and proprietary algorithms to automate evaluation and management (E/M) coding by accurately interpreting medical records in seconds. This technology addresses the inefficiencies and inaccuracies of manual coding, resulting in faster reimbursements and reduced compliance risks for healthcare providers.

```xml <problem> Manual evaluation and management (E/M) coding of medical records is inefficient, prone to errors, and can lead to delayed reimbursements and increased compliance risks for healthcare providers. The complexity of coding guidelines and the need to interpret unstructured data within medical records contribute to these challenges. </problem> <solution> Calm Waters AI automates E/M coding by using natural language processing (NLP) and proprietary algorithms to analyze medical records and accurately determine the appropriate E/M code. The AI-driven technology interprets both structured and unstructured data, translating it into a compliant E/M level based on current guidelines. By streamlining the coding process, Calm Waters AI helps providers accelerate reimbursements, reduce the risk of audits, and improve overall coding accuracy. The platform integrates directly into existing EHR workflows, minimizing disruption and maximizing efficiency. </solution> <features> - AI-powered E/M coding recommendations based on NLP analysis of medical records - Seamless integration with leading EHR systems, including Epic and athenahealth - Customizable to match regional Medicare Administrative Contractor (MAC) guidelines - Real-time E/M score sheets and coding rationales in a CMS audit form - Batch coding capabilities for efficient processing of large volumes of records - Automatic updates to ensure compliance with the latest coding rules </features> <target_audience> The primary target audience includes healthcare providers, financial professionals, and operational teams within hospitals, clinics, and physician practices who are responsible for accurate and efficient medical coding and billing. </target_audience> ```

What does Calm Waters AI do?

Where is Calm Waters AI located?

Calm Waters AI is based in Nashville, United States.

When was Calm Waters AI founded?

Calm Waters AI was founded in 2021.

How much funding has Calm Waters AI raised?

Calm Waters AI has raised 1500000.

Location

Nashville, United States

Founded

2021

Funding

1500000

Employees

24 employees

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Calm Waters AI

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Executive Summary

calmwatersai.com 1K+

Crunchbase

Founded 2021 – Nashville, United States

Funding

Estimated Funding

$1M+

Team (20+)

No team information available.

Company Description

Problem

Manual evaluation and management (E/M) coding of medical records is inefficient, prone to errors, and can lead to delayed reimbursements and increased compliance risks for healthcare providers. The complexity of coding guidelines and the need to interpret unstructured data within medical records contribute to these challenges.

Solution

Calm Waters AI automates E/M coding by using natural language processing (NLP) and proprietary algorithms to analyze medical records and accurately determine the appropriate E/M code. The AI-driven technology interprets both structured and unstructured data, translating it into a compliant E/M level based on current guidelines. By streamlining the coding process, Calm Waters AI helps providers accelerate reimbursements, reduce the risk of audits, and improve overall coding accuracy. The platform integrates directly into existing EHR workflows, minimizing disruption and maximizing efficiency.

Features

AI-powered E/M coding recommendations based on NLP analysis of medical records

Seamless integration with leading EHR systems, including Epic and athenahealth

Customizable to match regional Medicare Administrative Contractor (MAC) guidelines

Real-time E/M score sheets and coding rationales in a CMS audit form

Batch coding capabilities for efficient processing of large volumes of records

Automatic updates to ensure compliance with the latest coding rules

Target Audience

The primary target audience includes healthcare providers, financial professionals, and operational teams within hospitals, clinics, and physician practices who are responsible for accurate and efficient medical coding and billing.